Deep Learning: Linear Classifier with Regularization | Finding Gradients Explained
In this session, we explore one of the core building blocks of Deep Learning — the Linear Classifier — and understand how Regularization helps improve generalization. We also break down the process of finding gradients, a key step in optimizing weights (W ) for better model performance.
* How Regularization (L1 & L2) controls overfitting
* Deriving and understanding gradients step by step
* Role of gradients in finding the best weights (*W*)
* Intuition for optimization
This video is designed for students, beginners, and researchers in Machine Learning and AI who want a clear understanding of the math and intuition behind classifiers and regularization.
✨ Watch till the end to strengthen your fundamentals and apply these techniques in real-world deep learning projects!
#DeepLearning #computervision #LinearClassifier #Regularization #Gradients #MachineLearning
